Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-02-003 ISMRM Abstract

Beta-amyloid Plaque Characterization using QSM and Paramagnetic/Diamagnetic Susceptibility in AD mice

Primary: Neuro - Alzheimer's Disease
Secondary: Contrast Mechanisms - Susceptibility/QSM
460-02-003 · From Bench to Bedside: All About the Brain in Health and Alzheimer’s Disease · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row A
Accepted
Juan Liu1, Jingjia Chen2,3, Jie Chen1, Li Feng2,3, Nian Wang 1,4
1University of Texas Southwestern Medical Center, Dallas, United States of America
2Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
3Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
4Peter O'Donnell Jr. Brain Institute, The University of Texas Southwestern​ Medical Center, Dallas, United States of America
Presenting Author: Nian Wang

Synopsis

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References

1. Kim, E., Di Censo, D., Baraldo, M., Simmons, C., Rosa, I., Randall, K., Ballard, C., Dickie, B.R., Williams, S.C., Killick, R. and Cash, D., 2021. In vivo multi-parametric manganese-enhanced MRI for detecting amyloid plaques in rodent models of Alzheimer’s disease. Scientific reports, 11(1), p.12419.
2. Chen J, Gong NJ, Chaim KT, Otaduy MCG, Liu C. Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. NeuroImage. 2021;242:118477. doi:10.1016/j.neuroimage.2021.118477 [doi]
3. Wang N, Cofer G, Anderson RJ, Qi Y, Liu C, Johnson GA. Accelerating quantitative susceptibility imaging acquisition using compressed sensing. Phys Med Biol. 2018;63(24):245002. doi:10.1088/1361-6560/aaf15d [doi]
4. Avants, B.B., Tustison, N.J., Song, G., Cook, P.A., Klein, A. and Gee, J.C., 2011. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage, 54(3), pp.2033-2044. doi: https://doi.org/10.1016/j.neuroimage.2010.09.025 [doi]
5. Shih, S.F., Tasdelen, B., Yagiz, E., Zhang, Z., Zhong, X., Cui, S.X., Nayak, K.S. and Wu, H.H., 2025. Improved liver fat and R 2* quantification at 0. 55 T using locally low‐rank denoising. Magnetic Resonance in Medicine, 93(3), pp.1348-1364.
6. Li W, Avram AV, Wu B, Xiao X, Liu C. Integrated Laplacian-based phase unwrapping and background phase removal for quantitative susceptibility mapping. NMR in Biomedicine. Published online June 1, 2018:219-227. doi:https://doi.org/10.1002/nbm.3056 [doi]
7. Polak D, Chatnuntawech I, Yoon J, et al. Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM). NMR Biomed. 2020;33(12):e4271. doi:10.1002/nbm.4271 [doi]
8. Chen, J., Han, X., Liu, Z., Zhou, C., Hu, R., Tabassam, S., Wyatt-Johnson, S.K., Oblak, A.L., Brutkiewicz, R.R., Lin, M. and Wang, N. Detecting Beta-amyloid Plaque via Low Rank Based Orthogonal Projection and Spatial-spectrum Detector Using High-resolution Quantitative Susceptibility Mapping for Preclinical Studies. IEEE Transactions on Biomedical Engineering. 2025. doi: 10.1109/TBME.2025.3614233 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/460-02-003